Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-08-25
J. Stat. Mech.: Theor. Exper., P10010 (2010)
Physics
Condensed Matter
Disordered Systems and Neural Networks
26 pages, 9 figures, submitted to Journal of Statistical Mechanics
Scientific paper
10.1088/1742-5468/2010/10/P10010
We demonstrate through two case studies, one on the p-spin interaction model and the other on the random K-satisfiability problem, that a heterogeneity transition occurs to the ground-state configuration space of a random finite-connectivity spin glass system at certain critical value of the constraint density. At the transition point, exponentially many configuration communities emerge from the ground-state configuration space, making the entropy density s(q) of configuration-pairs a non-concave function of configuration-pair overlap q. Each configuration community is a collection of relatively similar configurations and it forms a stable thermodynamic phase in the presence of a suitable external field. We calculate s(q) by the replica-symmetric and the first-step replica-symmetry-broken cavity methods, and show by simulations that the configuration space heterogeneity leads to dynamical heterogeneity of particle diffusion processes because of the entropic trapping effect of configuration communities. This work clarifies the fine structure of the ground-state configuration space of random spin glass models, it also sheds light on the glassy behavior of hard-sphere colloidal systems at relatively high particle volume fraction.
Wang Chuang
Zhou Hai-jun
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